Defending Against Backdoor Attacks by Layer-wise Feature Analysis

Author:

Jebreel Najeeb Moharram,Domingo-Ferrer Josep,Li Yiming

Publisher

Springer Nature Switzerland

Reference24 articles.

1. Chen, B., et al.: Detecting backdoor attacks on deep neural networks by activation clustering. In: AAAI Workshop (2019)

2. Chen, X., Liu, C., Li, B., Lu, K., Song, D.: Targeted backdoor attacks on deep learning systems using data poisoning. arXiv preprint arXiv:1712.05526 (2017)

3. Gao, Y., et al.: Design and evaluation of a multi-domain Trojan detection method on deep neural networks. IEEE Trans. Dependable Secure Comput. 19(4), 2349–2364 (2022)

4. Gu, T., Liu, K., Dolan-Gavitt, B., Garg, S.: BadNets: evaluating backdooring attacks on deep neural networks. IEEE Access 7, 47230–47244 (2019)

5. Hayase, J., Kong, W.: SPECTRE: defending against backdoor attacks using robust covariance estimation. In: ICML (2021)

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